This disclosure provides systems, methods and apparatuses for classifying traffic flow using a plurality of learning machines arranged in multiple hierarchical levels. A first learning machine may classify a first portion of the input stream as malicious based on a match with first classification rules, and a second learning machine may classify at least part of the first portion of the input stream as malicious based on a match with second classification rules. The at least part of the first portion of the input stream may be classified as malicious based on the matches in the first and second learning machines.
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2. The method of claim 1, wherein determining the quality of the second position estimate includes calculating a second TDOA residual error vector using the second position estimate.
3. The method of claim 2, further comprising: detecting a presence of any additional bad cells based on an evaluation of the second TDOA residual error vector.
4. The method of claim 1, wherein determining the quality of the first position estimate includes determining whether at least a minimum number of cells are included within the first TDOA measurement vector.
5. The method of claim 1, wherein determining the quality of the first position estimate includes determining a first geometric dilution of precision (GDOP) between the first position estimate and locations of the cells in the first TDOA measurement vector.
10. The mobile device of claim 9, wherein determining the quality of the second position estimate includes calculating a second TDOA residual error vector using the second position estimate.
12. The mobile device of claim 10, wherein determining the quality of the first position estimate includes determining whether at least a minimum number of cells are included within the first TDOA measurement vector.
13. The mobile device of claim 9, wherein determining the quality of the first position estimate includes determining a first geometric dilution of precision (GDOP) between the first position estimate and locations of the cells in the first TDOA measurement vector.
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June 20, 2023
December 3, 2024
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